InternFlow

Europe Arbeitnow ·

full-time
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Strategic Account Executive - Banking

Databricks · London

Education

  • Level: Bachelor's degree

Key Skills

AWSAzureAI

Notes

0-1 year experience eligible.

SLSQ427R686 Want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks. As an Strategic Enterprise Account Executive, you will come with an informed and compelling point of view on the Big Data, Advanced Analytics, and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers within the Banking sector. The impact you will have: You will provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks within the Banking segment. You will co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies and acquires new opportunity and enables you to exceed quarterly/annual usage and booking goals You will motivate a diverse team of big data and AI professionals to implement your business plan You will lead your team, customers, and partners to identify impactful big data and AI use cases whilst proving their value on the Databricks Data Intelligence Platform You will support the broader big data and AI transformation goals of your customers through a combination of strategic partnerships, well-scoped professional services, training, and targeted Executive engagement You will build exceptional value with all engagements to guide successful negotiations to close What we look for: Experience in direct sales of enterprise software platforms to large enterprises Ownership of executive level relationships in your clients Proven track record of developing new business Extensive experience of working with large complex regulated organisations Knowledge of the Data & AI space with technology sales experience Longevity with previous employers Quota over-achievement and significant growth when selling complex software and services to Enterprise accounts Experience driving successful adoption of usage-based subscription services (SaaS) and co-selling with AWS, Azure and Google Cloud teams Methods for co-developing business cases and gaining support from C-level Executives Familiarity with sales methodologies and process (e.g Territory and Account planning, MEDDPICC, Challenger Sales and Command of the Message) Experience developing partnerships with "champions" and client teams to support execution of your territory plan Experience developing a clear partner strategy and implement it to achieve success Understanding of consumption-based, land and expand sales models advantageous Understanding of how to identify important uses cases and buying centres to increase the impact of Databricks for clients About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion <

Skills for this role

AWSAzureAI
RoleStrategic Account Executive - Banking
CompanyDatabricks
LocationLondon
Typefull-time
CompensationNot disclosed
DeadlineRolling

Typical process for this type of role

A general guide — the exact steps for this specific listing may vary; check the original posting for details.

  1. 1ApplicationSubmit your resume through the apply link.
  2. 2ScreeningRecruiter reviews your background against the role.
  3. 3AssessmentA technical test, assignment, or coding round, depending on the role.
  4. 4Interview(s)One or more rounds with the hiring team.
  5. 5OfferOffer letter with compensation and start date.

Before you apply

0/4

About Databricks

Databricks is a data and AI company that provides a unified platform built on an open lakehouse architecture. The platform is designed to help organizations manage data, analytics, and AI governance in one place, enabling both technical teams and general users to build, deploy, and manage production-ready applications and AI agents. Founded in 2013 by the creators of the lakehouse architecture and several open-source projects, the company focuses on democratizing data insights through automation and natural language tools. Databricks serves over 20,000 customers globally, including more than 60% to 70% of the Fortune 500. Headquartered in San Francisco, the company maintains a global presence supported by a network of over 1,200 cloud, ISV, and consulting partners.

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